Dev Ops
- Dev Ops
- Dev OPS 2
- Dev OPS 1
- Dev OPS 3
Effortlessly build Analytical Models with a Visual Designer!
No-code, Low-code, and Drag-and-drop visual model-builder
Build, train-test-deploy, publish, and manage multiple RubiModel versions
Integrate Python & R-based models and custom coding
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Rapidly Create and Present Visual Data Stories!
Quickly create dashboards for any subject area
Collaborate effectively while making a decision
Present your data smartly using a plethora of customizable widgets
Deliver a consistent UX by controlling Brand and Design
RubiSight is an easy-to-use solution that requires minimal training.
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Build and Develop Innovative Applications!
Build apps without prior App Programming and Software knowledge
No-code functionality to design app with visual interface
Simple drag-and-drop interface for app building
Automated publishing to App Store and Google Play
Persona Group DevOps Experts
DevOps Experts
DevOps Experts are Data Specialists who are the best collaborators and communicators in the data-driven organizations. They combine human and operational resources to technology with the aim of offering the best data products and services.
They are responsible for safeguarding the data health of the entire organization, right from envisioning the inceptive strategy, implementing the strategy for the patronage of data by all types of consumers. They are responsible for creating data policies, operational processes and technology from the perspective of the end user and also meet the business objectives.
Our Envisioned Personas for Data Consumers
Learn ML Ops
Objective
Model, summarize and visualize data by handling various tasks involving data wrangling, visualization,and processing large amounts of data.
Knowledge Map
- Big data infrastructure, machine learning, data mining, and statistical pattern recognition.
- Application of learning algorithms to building smart robots, text understanding, computer vision, medical informatics, audio, database mining
- Best practices in machine learning
Certification Code: RS_ML_RML
